Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural Properties
The paper addresses the problem of assessing the quality of fingerprint images using spatial analysis methods. The author proposes using the previously developed mathematical model to describe the set of magnitudes of the image gradient. The model is based on the two-parameter Weibull distribution....
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| Format: | Article |
| Language: | Russian |
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Ministry of Justice of the Russian Federation, Russian Federal Centre of Forensic Science
2020-12-01
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| Series: | Теория и практика судебной экспертизы |
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| Online Access: | https://www.tipse.ru/jour/article/view/626 |
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| _version_ | 1850029269754839040 |
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| author | D. G. Asatryan |
| author_facet | D. G. Asatryan |
| author_sort | D. G. Asatryan |
| collection | DOAJ |
| description | The paper addresses the problem of assessing the quality of fingerprint images using spatial analysis methods. The author proposes using the previously developed mathematical model to describe the set of magnitudes of the image gradient. The model is based on the two-parameter Weibull distribution. The author proposes two approaches to assess the quality of fingerprints. The first approach is implemented by the so-called “Full reference method”, which compares the Weibull distribution parameters’ values of statistical estimates. The results of identifying sweat pores using this method are presented. The second approach is called the “No-Reference method” and is used to assess fingerprints’ quality when analyzing and identifying the information content of their individual sections. It is proposed to use an image blur map as a quality characteristic and a statistical estimate of the Weibull distribution shape parameter as a measure of the blur. The shape parameter is estimated at each image point by the combination of magnitudes of the image gradient in the vicinity of the point; in this, the previously developed blur mapping technique is applied. The specific examples illustrate effectiveness of the proposed approaches. |
| format | Article |
| id | doaj-art-08474ffce3b249c7b56f76d539f705e0 |
| institution | DOAJ |
| issn | 1819-2785 2587-7275 |
| language | Russian |
| publishDate | 2020-12-01 |
| publisher | Ministry of Justice of the Russian Federation, Russian Federal Centre of Forensic Science |
| record_format | Article |
| series | Теория и практика судебной экспертизы |
| spelling | doaj-art-08474ffce3b249c7b56f76d539f705e02025-08-20T02:59:34ZrusMinistry of Justice of the Russian Federation, Russian Federal Centre of Forensic ScienceТеория и практика судебной экспертизы1819-27852587-72752020-12-01154909710.30764/1819-2785-2020-4-90-97554Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural PropertiesD. G. Asatryan0Institute for Informatics and Automation Problems of National Academy of Sciences of Armenia; Russian-Armenian UniversityThe paper addresses the problem of assessing the quality of fingerprint images using spatial analysis methods. The author proposes using the previously developed mathematical model to describe the set of magnitudes of the image gradient. The model is based on the two-parameter Weibull distribution. The author proposes two approaches to assess the quality of fingerprints. The first approach is implemented by the so-called “Full reference method”, which compares the Weibull distribution parameters’ values of statistical estimates. The results of identifying sweat pores using this method are presented. The second approach is called the “No-Reference method” and is used to assess fingerprints’ quality when analyzing and identifying the information content of their individual sections. It is proposed to use an image blur map as a quality characteristic and a statistical estimate of the Weibull distribution shape parameter as a measure of the blur. The shape parameter is estimated at each image point by the combination of magnitudes of the image gradient in the vicinity of the point; in this, the previously developed blur mapping technique is applied. The specific examples illustrate effectiveness of the proposed approaches.https://www.tipse.ru/jour/article/view/626fingerprintimage qualityfull reference methodno-reference methodblurquality mapsweat poresweibull distribution |
| spellingShingle | D. G. Asatryan Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural Properties Теория и практика судебной экспертизы fingerprint image quality full reference method no-reference method blur quality map sweat pores weibull distribution |
| title | Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural Properties |
| title_full | Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural Properties |
| title_fullStr | Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural Properties |
| title_full_unstemmed | Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural Properties |
| title_short | Quality Assessment and Identification of Fingerprints by Analysis of the Image’s Structural Properties |
| title_sort | quality assessment and identification of fingerprints by analysis of the image s structural properties |
| topic | fingerprint image quality full reference method no-reference method blur quality map sweat pores weibull distribution |
| url | https://www.tipse.ru/jour/article/view/626 |
| work_keys_str_mv | AT dgasatryan qualityassessmentandidentificationoffingerprintsbyanalysisoftheimagesstructuralproperties |